Intratumoural and peritumoural CT-based radiomics for diagnosing lepidic-predominant adenocarcinoma in patients with pure ground-glass nodules: a machine learning approach-Reference-Cited by-同舟云学术

Intratumoural and peritumoural CT-based radiomics for diagnosing lepidic-predominant adenocarcinoma in patients with pure ground-glass nodules: a machine learning approach

Published:2024-02 Issue:2 Volume:79 Page:e211-e218
ISSN:0009-9260
Container-title:Clinical Radiology
language:en
Short-container-title:Clinical Radiology

Author:

Zou Y.,Mao Q.,Zhao Z.,Zhou X.,Pan Y.,Zuo Z.,Zhang W.

Publisher

Elsevier BV

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Reference20 articles.

1. Measuring pure ground-glass nodules on computed tomography: assessing agreement between a commercially available deep learning algorithm and radiologists' readings;Zuo;Acta Radiol,2023

2. Computed tomography density is not associated with pathological tumour invasion for pure ground-glass nodules;Fu;J Thorac Cardiovasc Surg,2021

3. Lung adenocarcinoma invasiveness risk in pure ground-glass opacity lung nodules smaller than 2 cm;Lee;Thorac Cardiovasc Surg,2019

4. Tumour histology predicts mediastinal nodal status and may be used to guide limited lymphadenectomy in patients with clinical stage I non-small cell lung cancer;Cheng;J Thorac Cardiovasc Surg,2018

5. Development and validation of a nomogram for predicting the 1-, 3-, and 5-year survival in patients with acinar-predominant lung adenocarcinoma;Zuo;Curr Med Sci,2022

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1. Prediction of the benign and malignant nature of masses in COPD background based on Habitat-based enhanced CT radiomics modeling: A preliminary study;Technology and Health Care;2024-07-12

2. Quantification of Intratumoral Heterogeneity: Distinguishing Histological Subtypes in Clinical T1 Stage Lung Adenocarcinoma Presenting as Pure Ground-Glass Nodules on Computed Tomography;Academic Radiology;2024-04